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Export from File to PostgreSQL

CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.

The CloudQuery File plugin allows you to sync data from File to any destination, including PostgreSQL. It takes only minutes to get started.

File
file
Official
Premium

File

The CloudQuery File plugin syncs parquet files to any of the supported CloudQuery destinations

Publisher

cloudquery

Latest version

v1.2.1

Type

Source

Platforms
Date Published

Feb 20, 2024

Price per 1M rows

$100

free quota

1M rows

postgresql
Official

PostgreSQL

This destination plugin lets you sync data from a CloudQuery source to a PostgreSQL compatible database.

Publisher

cloudquery

Repositorygithub.com
Latest version

v7.3.5

Type

Destination

Platforms
Date Published

Feb 20, 2024

Price

Free

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

Step 2. Log in to CloudQuery CLI

Logging in is required to use premium plugins and premium tables in open-core plugins.

cloudquery login

Step 3. Configure File source plugin

You can find more information about the configuration in the plugin documentation

kind: source
spec:
  name: file
  path: cloudquery/file
  registry: cloudquery
  version: "v1.2.1"
  tables: ["*"]
  destinations: ["postgresql"]

  spec:
    files_dir: "/path/to/files-to-sync" # required. Path to the directory with files to sync
    # concurrency: 50 # optional. Number of files to sync in parallel. Default: 50

Step 4. Configure PostgreSQL destination plugin

You can find more information about the configuration in the plugin documentation

kind: destination
spec:
  name: "postgresql"
  path: "cloudquery/postgresql"
  registry: "cloudquery"
  version: "v7.3.5"

  spec:
    connection_string: "${POSTGRESQL_CONNECTION_STRING}" # set the environment variable in a format like postgresql://postgres:pass@localhost:5432/postgres?sslmode=disable
    # you can also specify it in DSN format, which can hold special characters in the password field:
    # connection_string: "user=postgres password=pass+0-[word host=localhost port=5432 dbname=postgres"
    # Optional parameters:
    # pgx_log_level: error
    # batch_size: 10000 # 10K entries
    # batch_size_bytes: 100000000 # 100 MB
    # batch_timeout: 60s

Step 5. Run Sync

cloudquery sync file.yml postgresql.yml
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